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Physics Informed Machine Learning Jobs in Toronto, ON

Vice President, Data Scientist

Toronto, ON · On-site

CA$120K - CA$150K/yr

... Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). · Minimum 3 years of experience in data science or machine learning; experience in capital ...

... Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine learning; experience in capital ...

Designing and solutioning AI/GenAI architectures (LLM/SLM/Machine learning models) to address real ... or Physics. Preferred Qualifications: * Experience in using Python (e.g., Pandas, NLTK, Scikit ...

This role applies statistical analysis, machine learning, and data-driven experimentation to solve ... Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering ...

... Physics, or a related quantitative field. * 5+ years of hands on industry experience in developing probabilistic models, analytics, and machine learning algorithms, including real world experience of ...

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ...

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ...

... to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - You will be responsible for ...

Stay informed about the latest developments in Generative AI, machine learning, and cloud technologies to continuously improve data science capabilities. * Collaborate with Data Engineers and ML ...

The ideal candidate will bring deep expertise in advanced analytics, machine learning, causal ... Champion data-driven decision-making, ensuring that product and strategy decisions are informed by ...

Collaborate seamlessly with cross-functional teams, including machine learning engineers, data ... Make informed decisions backed by data analytics and key performance indicators (KPIs). Track ...

Collaborate seamlessly with cross-functional teams, including machine learning engineers, data ... Make informed decisions backed by data analytics and key performance indicators (KPIs). Track ...

Senior Data Scientist

Toronto, ON · Hybrid

CA$160K - CA$184K/yr

Innovate new techniques in statistical analysis, machine learning, and data mining to unlock ... Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative ...

26-017 - AI Developer

Oshawa, ON · Hybrid

$85 - $110/hr

The role also includes implementing machine learning operations practices to ensure reliable ... physics, or a related technical discipline. An advanced degree in a related field is considered an ...

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Physics Informed Machine Learning information

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
What job categories do people searching Physics Informed Machine Learning jobs in Toronto, ON look for? The top searched job categories for Physics Informed Machine Learning jobs in Toronto, ON are:
Vice President, Data Scientist

Vice President, Data Scientist

BMO Financial

Toronto, ON • On-site

CA$120K - CA$150K/yr

Other

Medical, Life, Retirement

Posted 21 days ago


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

· Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.

· Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.

· Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.

· Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.

· Design and maintain reproducible machine learning pipelines for production environments.

· Analyze large datasets to extract insights and support strategic decision-making.

· Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.

· Visualize complex data clearly and concisely for business consumption.

Qualifications

· Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).

· Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.

· Proficiency in statistical modeling, time series analysis, and machine learning frameworks.

· Strong programming skills (Python preferred) and experience with cloud technologies.

· Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

· Excellent problem-solving skills and ability to formulate hypotheses and learn from data.

· Strong communication skills for effective collaboration with technical and business stakeholders.

· Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

· Experience with Generative AI and advanced ML techniques.

· Knowledge of investment banking concepts, trading strategies, and financial data formats.

· Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer

Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $120,000-$150,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.